Used Fusion an a couple projects,

*Pros:*
*-* Wraps Solr, so you should be able to do anything you can do in Solr in
Fusion
- 'Opinionated' Solr - Annoying problems I see on every team, solved with
common tooling (experiments, signal collection, etc). Can save tons of work.
- Relevance focused - good defaults for relevance work, built by people
like Trey/Grant who are smart about this stuff
- It's really a very good 'relevance IDE' - Still allows all the
customization of Solr, plus a dose of extra customization you can do with
Fusion based on open source tools

*Cons*
- It's in part a closed source search product, so if it gets acquired, you
can get stuck depending on a closed source product that gets abandoned. See
Fast, GSA, etc
- You'll need to fit into the opinions, and be OK with the Fusion way of
thinking
- Can be hard to tell where Solr ends and Fusion begins, if you want to
limit your dependency on Fusion

Sure I'm missing stuff. It's one of the best search products out there, in
my opinion. But a search product isn't for anyone. (see
http://opensourceconnections.com/blog/2017/04/29/choosing-proprietary-vs-open-source-search/
)

I'm always happy to talk 1-1 about any search product :)

Hope that helps
-Doug


On Tue, Feb 6, 2018 at 1:28 PM Jamie Keenan <j.kee...@mcpartners.co.uk>
wrote:

> Hi All,
>
>
>
> I was recommended to reach out by Ramkumar Aiyengar – I have known him for
> quite a while and I wanted to get some advice on Solr / Lucence…
>
>
>
> To give you a bit of context – I am the founder of a boutique search firm
> with a big vision on augmenting what we do with technology as there is
> nothing that works well in our market (or as well as we would like…). We
> have SOLR at present and we were considering fusion so I wanted to gain
> some insights from the community about what we can achieve with SOLR /
> Lucence.
>
>
>
> We are trying to build an industry leading search engine for talent! At
> present, we have SOLR installed on our internal servers and we want to
> really unlock it’s power. We currently use sovren to parse our data into
> XML format and we add relevant metadata as we engage with talent, we also
> have a pretty strong data model and a good idea of what we want a search
> engine to do for us. The bigger vision is to work on a product roadmap to
> create an innovative and intuitive search system to make sense of much
> larger sets of data, such as online profiles as well as incorporating
> machine learning into its approach to achieve great things. We are just at
> the beginning of this journey but we know there is nothing out there that
> works like this presently – even Linkedin is flawed (even as a
> multi-billion dollar company)
>
>
>
> I would love to share our ideas, explain what we have at the moment along
> with our vision for the product to see what you think we could achieve and
> of course the best way to do it! To do this, we really need to think
> outside of the box and the conventional tools out there – hence the big
> vision! There may even be room to partner with us as an advisor if you find
> the problem interesting and exciting enough (and of course you have the
> time) 😊
>
>
>
> Would anyone be interested in exploring the beginnings of a new tech
> product with us?
>
>
>
> Kind Regards
>
>
>
> *Jamie Keenan*
>
> Founder
>
> Technology
>
>
>
>
>
>
>
> +44 (0)20 7014 1026 <+44%20(0)20%207014%201026>
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-- 
CTO, OpenSource Connections
Author, Relevant Search
http://o19s.com/doug

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